Most LLM agents work well for small tool-calling loops, but they start to break down when the task becomes multi-step, stateful, and artifact-heavy. langchen’s deep agent Designed for that difference. …
Tag:
Context
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AI Tools
Andrew Ng’s team releases Context Hub: an open source tool that gives your coding agent the updated API documentation they need
In the fast-paced world of agentic workflows, even the most powerful AI model is still only as good as its documentation. Today, Andrew Ng and his team officially launched DeepLearning.AI …
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AI News
Liquid AI has released LocalCoWork powered by LFM2-24B-A2B to execute privacy-first agent workflows locally via Model Context Protocol (MCP).
Liquid AI has been released LFM2-24B-A2BA model optimized for local, low-latency device dispatch local peerAn open-source desktop agent application is available Liquid4All GitHub Cookbook. This release provides a deployable architecture …
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Data discovery is built on a foundation of business context As data wealth grows, many organizations grapple with a fundamental challenge: helping people find Correct data and decide whether to …
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AI Tools
RAG vs Context Stuffing: Why selective retrieval is more efficient and reliable than dumping all data into the prompt
Large context windows have dramatically increased how much information modern language models can process in a single prompt. With models capable of handling hundreds of thousands or even millions of …
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Author(s): Ritesh Meena Originally published on Towards AI. Part 2: Drop the theory. Here’s what we actually created. A technical deep dive into the architecture made our development workflow 10x …
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Generative AI
How to create an atomic-agent RAG pipeline with typed schema, dynamic context injection, and agent chaining
In this tutorial, we build an advanced, end-to-end learning pipeline nuclear agent Tying together typed agent interfaces, structured prompting, and a compact retrieval layer that bases the output in actual …
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AI News
Anthropic releases Cloud Opus 4.6 with 1M context, agentic coding, adaptive logic control, and expanded security tooling capabilities
Anthropic has launched Cloud Opus 4.6, its most capable model to date, focused on long-context reasoning, agentic coding, and high-value knowledge work. This model is built on Cloud Opus 4.5 …
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Knowledge graphs and their limitations With the rapid development of AI applications, knowledge graphs (KGs) have emerged as a fundamental structure to represent knowledge in a machine-readable form. They organize …
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Author(s): To the AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week, we’re looking at why agent systems get lost, confused, or silently break down …
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